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  "Title": "Credit Risk Scorecard",
  "Description": "The `scorecard` package makes the development of credit\nrisk scorecard easier and efficient by providing functions for\nsome common tasks, such as data partition, variable selection,\nwoe binning, scorecard scaling, performance evaluation and\nreport generation. These functions can also used in the\ndevelopment of machine learning models. The references\nincluding: 1. Refaat, M. (2011, ISBN: 9781447511199). Credit\nRisk Scorecard: Development and Implementation Using SAS. 2.\nSiddiqi, N. (2006, ISBN: 9780471754510). Credit risk\nscorecards. Developing and Implementing Intelligent Credit\nScoring.",
  "Authors@R": "person(\"Shichen\", \"Xie\", , \"xie@shichen.name\", c(\"aut\", \"cre\"))",
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  "Date/Publication": "2026-02-07 05:49:30 UTC",
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    "gains_table",
    "iv",
    "one_hot",
    "perf_cv",
    "perf_eva",
    "perf_psi",
    "replace_na",
    "report",
    "scorecard",
    "scorecard_ply",
    "scorecard_pmml",
    "scorecard2",
    "split_df",
    "var_filter",
    "var_scale",
    "vif",
    "woebin",
    "woebin_adj",
    "woebin_plot",
    "woebin_ply"
  ],
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      "name": "germancredit",
      "title": "German Credit Data",
      "object": "germancredit",
      "class": [
        "data.frame"
      ],
      "fields": [
        "status.of.existing.checking.account",
        "duration.in.month",
        "credit.history",
        "purpose",
        "credit.amount",
        "savings.account.and.bonds",
        "present.employment.since",
        "installment.rate.in.percentage.of.disposable.income",
        "personal.status.and.sex",
        "other.debtors.or.guarantors",
        "present.residence.since",
        "property",
        "age.in.years",
        "other.installment.plans",
        "housing",
        "number.of.existing.credits.at.this.bank",
        "job",
        "number.of.people.being.liable.to.provide.maintenance.for",
        "telephone",
        "foreign.worker",
        "creditability"
      ],
      "rows": 1000,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "describe",
      "title": "Variable Describe",
      "topics": [
        "describe"
      ]
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      "page": "gains_table",
      "title": "Gains Table",
      "topics": [
        "gains_table"
      ]
    },
    {
      "page": "germancredit",
      "title": "German Credit Data",
      "topics": [
        "germancredit"
      ]
    },
    {
      "page": "iv",
      "title": "Information Value",
      "topics": [
        "iv"
      ]
    },
    {
      "page": "one_hot",
      "title": "One Hot Encoding",
      "topics": [
        "one_hot"
      ]
    },
    {
      "page": "perf_cv",
      "title": "Cross Validation",
      "topics": [
        "perf_cv"
      ]
    },
    {
      "page": "perf_eva",
      "title": "Binomial Metrics",
      "topics": [
        "perf_eva"
      ]
    },
    {
      "page": "perf_psi",
      "title": "PSI",
      "topics": [
        "perf_psi"
      ]
    },
    {
      "page": "replace_na",
      "title": "Replace Missing Values",
      "topics": [
        "replace_na"
      ]
    },
    {
      "page": "report",
      "title": "Scorecard Modeling Report",
      "topics": [
        "report"
      ]
    },
    {
      "page": "scorecard",
      "title": "Creating a Scorecard",
      "topics": [
        "scorecard"
      ]
    },
    {
      "page": "scorecard_ply",
      "title": "Score Transformation",
      "topics": [
        "scorecard_ply"
      ]
    },
    {
      "page": "scorecard_pmml",
      "title": "Scorecard to PMML",
      "topics": [
        "scorecard_pmml"
      ]
    },
    {
      "page": "scorecard2",
      "title": "Creating a Scorecard",
      "topics": [
        "scorecard2"
      ]
    },
    {
      "page": "split_df",
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      "topics": [
        "split_df"
      ]
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        "var_filter"
      ]
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        "var_scale"
      ]
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        "vif"
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    },
    {
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        "woebin"
      ]
    },
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      "page": "woebin_adj",
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        "woebin_plot"
      ]
    },
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      ]
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        "Create Scorecard"
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      "fileid": "https://r2.ropensci.org/b909c8ada07f7a9d737c99524766caa9e12a9f760137e902603ba3ebe05a8191",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/shichenxie/actions/runs/37291829497"
    }
  ]
}